大数据时代情报服务模型探索研究
发布时间：2019-03-28 07:38
【摘要】：数据时代,数据即资源,数据即服务。大数据时代,情报分析人员做好情报服务工作尤为重要。本研究首先论述了大数据相关概念、特征及发展趋势;其次,探讨了大数据环境给情报服务所带来的机遇与挑战;最后,结合大数据的数据特征,构建了大数据时代的情报服务模型。该模型充分考虑了大数据的数据特征、情报用户对情报内容与目的等特殊要求以及情报分析人员情报服务工作的流程,实现了情报服务的定制化和个性化。模型在数据处理过程中体现了数据-信息-知识-智慧的转化过程:实现了从实时数据、动态数据转化为信息,随后抽象、凝炼为知识,再深度升华为智慧,最终形成智慧产品并提供给情报用户,从而达到情报分析与情报服务的目的。
[Abstract]:In the data age, data is a resource and data is a service. Big data era, intelligence analysts do a good job of information services is particularly important. This study first discusses the concept, characteristics and development trend of big data, secondly, discusses the opportunities and challenges brought by big data environment to information service. Finally, combined with big data's data characteristics, the paper constructs the big data era information service model. The model fully takes into account big data's data characteristics, information users' special requirements for information content and purpose, and the flow of information services for information analysts, thus realizing the customization and individualization of information services. The model embodies the transformation process of data-information-knowledge-wisdom in the process of data processing: it realizes the transformation from real-time data, dynamic data to information, then abstract, condensed into knowledge, and then sublimated to wisdom in depth. Finally, intelligence products are formed and provided to intelligence users to achieve the purpose of intelligence analysis and information services.
【作者单位】： 武汉大学中国科学评价研究中心;武汉大学信息管理学院;
【分类号】：G358
本文编号：2448668
[Abstract]:In the data age, data is a resource and data is a service. Big data era, intelligence analysts do a good job of information services is particularly important. This study first discusses the concept, characteristics and development trend of big data, secondly, discusses the opportunities and challenges brought by big data environment to information service. Finally, combined with big data's data characteristics, the paper constructs the big data era information service model. The model fully takes into account big data's data characteristics, information users' special requirements for information content and purpose, and the flow of information services for information analysts, thus realizing the customization and individualization of information services. The model embodies the transformation process of data-information-knowledge-wisdom in the process of data processing: it realizes the transformation from real-time data, dynamic data to information, then abstract, condensed into knowledge, and then sublimated to wisdom in depth. Finally, intelligence products are formed and provided to intelligence users to achieve the purpose of intelligence analysis and information services.
【作者单位】： 武汉大学中国科学评价研究中心;武汉大学信息管理学院;
【分类号】：G358
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